Jun-Jang Jeng

71 total papers · 830 total citations
42 papers, 473 citations indexed

About

Jun-Jang Jeng is a scholar working on Information Systems, Management Information Systems and Artificial Intelligence. According to data from OpenAlex, Jun-Jang Jeng has authored 42 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Information Systems, 24 papers in Management Information Systems and 20 papers in Artificial Intelligence. Recurrent topics in Jun-Jang Jeng's work include Business Process Modeling and Analysis (24 papers), Service-Oriented Architecture and Web Services (21 papers) and Advanced Software Engineering Methodologies (16 papers). Jun-Jang Jeng is often cited by papers focused on Business Process Modeling and Analysis (24 papers), Service-Oriented Architecture and Web Services (21 papers) and Advanced Software Engineering Methodologies (16 papers). Jun-Jang Jeng collaborates with scholars based in United States, Japan and Australia. Jun-Jang Jeng's co-authors include Betty H. C. Cheng, Lianjun An, Haifei Li, Patrick C. K. Hung, Henry Chang, Josef Schiefer, Jen‐Yao Chung, Farokh Bastani, I‐Ling Yen and Liangzhao Zeng and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Information Systems and e-Business Management and International Journal of Software Engineering and Knowledge Engineering.

In The Last Decade

Jun-Jang Jeng

41 papers receiving 426 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jun-Jang Jeng 324 211 197 179 59 42 473
David Schumm 367 1.1× 122 0.6× 206 1.0× 164 0.9× 28 0.5× 38 465
Camille Salinesi 342 1.1× 212 1.0× 128 0.6× 94 0.5× 39 0.7× 58 513
Ahmed Awad 255 0.8× 170 0.8× 252 1.3× 103 0.6× 39 0.7× 45 407
Valentín Valero 251 0.8× 206 1.0× 161 0.8× 148 0.8× 25 0.4× 68 516
Alexander Wise 283 0.9× 192 0.9× 157 0.8× 161 0.9× 36 0.6× 24 519
Hagen Völzer 275 0.8× 146 0.7× 291 1.5× 78 0.4× 36 0.6× 25 420
Per Närman 271 0.8× 73 0.3× 361 1.8× 179 1.0× 46 0.8× 31 546
Jesús Bisbal 249 0.8× 141 0.7× 99 0.5× 172 1.0× 52 0.9× 27 418
Beate List 287 0.9× 120 0.6× 268 1.4× 93 0.5× 65 1.1× 22 499
Rafael M. Gasca 218 0.7× 154 0.7× 147 0.7× 210 1.2× 21 0.4× 92 468

Countries citing papers authored by Jun-Jang Jeng

Since Specialization
Citations

This map shows the geographic impact of Jun-Jang Jeng's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jun-Jang Jeng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun-Jang Jeng more than expected).

Fields of papers citing papers by Jun-Jang Jeng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun-Jang Jeng. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jun-Jang Jeng. The network helps show where Jun-Jang Jeng may publish in the future.

Co-authorship network of co-authors of Jun-Jang Jeng

This figure shows the co-authorship network connecting the top 25 collaborators of Jun-Jang Jeng. A scholar is included among the top collaborators of Jun-Jang Jeng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jun-Jang Jeng. Jun-Jang Jeng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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